Method of Emergency Collision Avoidance for Unmanned Surface Vehicle (USV) Based on Motion Ability Database
References
- 1. Campbell S., Naeem W., Irwin G.W.:
A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvre . Annu. Rev. Control 2012, 36(23): pp. 267–283. - 2. Simetti E., Turetta A., Casalino G.:
Towards the Use of a Team of USVs for Civilian Harbour Protection: the Problem of Intercepting Detected Menaces , OCEANS 2010 IEEE – Sydney. - 3. U.S.Dept. Homeland Security/U.S. Coast Guard;
Navigation rules . Paradise Cay Publications, 2010. - 4. Larson J., Bruch M., Halterman R., Rogers J., Webster R.:
Advances in Autonomous Obstacle Avoidance for Unmanned Surface Vehicles . Space and Naval Warfare Systems Center, San Diego, CA., 2007. - 5. Colito J.:
Autonomous mission planning and execution for unmanned surface vehicles in compliance with the marine rules of the road , M.S. thesis, Dept. Aeronaut. Astronaut., Univ. Washington, Seattle, WA, US., 2007. - 6. Choi, S., Yu, W.:
Any-angle path planning on non-uniform costmaps . In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2011: pp. 5615–5621. - 7. Kim H., Park B., Myung H.:
Curvature path planning with high resolution graph for unmanned surface vehicle . In: Proceedings of the Robot Intelligence Technology and Applications (RiTA), 2012: pp. 147–154. - 8. Khatib, O.:
Real-time obstacle avoidance for manipulators and mobile robots . Int. J. Robot. Res. 1986, 5: pp. 90–98. - 9. Wang J., Wu X., Xu Z.:
Potential-based obstacle avoidance in formation control . J. Control Theory Appl. 2008, 6: pp. 311–316. - 10. Ge S., Cui Y.:
Dynamic motion planning for mobile robots using potential field method . Auton. Robots 2007, 13: pp. 207–222. - 11. Fiorini P., Shiller Z.:
Motion planning in dynamic environments using velocity obstalces , Int. J. Robot, Res. 1998, 17(7): pp. 760–772. - 12. Berg J., Lin M., and Manocha D.:
Reciprocal velocity obstacles for real-time multi-agent navigation , Proc. IEEE Int. Conf. Robot. Autom., 2008: pp. 1928–1935. - 13. Kluge B., 2004 Parssler:
Reflective navigation: Individual behaviors and group behaviors , Proc. IEEE Int. Conf. Robot. Autom., 2004, 4: pp. 4172–4177. - 14. Berg J., Patil S., Sewall J., Manocha D., and Lin M. C.:
Interactive navigation of multiple agents in crowded environments , Proc. Symp. Interactive 3D Graphics Games, 2004, pp. 139–147. - 15. Zhao Y.X., Li W., Shi P.:
A real-time collision avoidance learning system for Unmanned Surface Vessels . Neurocomputing, 2016, 182: pp. 255–266. - 16. Li W. F., Ma W. Y.:
Simulation on Vessel Intelligent Collision Avoidance Based on Artificial Fish Swarm Algorithm . Polish Maritime Research, 2016, 23: pp. 138–143. - 17. Lazarowska A.:
Swarm Intelligence Approach to Safe Ship Control . Polish Maritime Research, 2015, 22(4): pp. 34–40 - 18. Soulignac M.:
Feasible and optimal path planning in strong current fields . IEEE Trans. Robot. 2011, 27: pp. 89–98. - 19. Isern G., Hernández, S. D., Fernández P. E., Cabrera G., Dominguez B., Prieto M. V.:
Path planning for underwater gliders using iterative optimisation . In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2011: pp. 1538–1543. - 20. Yang Y., Wang S., Wu Z., Wang Y.:
Motion planning for multi-HUG formation in an environment with obstacles . Ocean Engineering. 2011, 38: pp. 2262–2269. - 21. Song L.F., Su Y.R., Dong Z.P.:
A two-level dynamic obstacle avoidance algorithm for unmanned surface vehicles , Ocean Engineering, 2018, 170: pp. 351–360. - 22. Song L.F., Chen Z., Xiang Z.Q.:
Error Mitigation Algorithm based on Bidirectional Fitting Method for Collision Avoidance of Unmanned Surface Vehicle , Polish Maritime Research, 2018.
Language: English
Page range: 55 - 67
Published on: Jul 12, 2019
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Related subjects:
© 2019 Lifei Song, Houjing Chen, Wenhao Xiong, Zaopeng Dong, Puxiu Mao, Zuquan Xiang, Kai Hu, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.